Quantum image processing (QuIP)

G. Beach, C. Lomont, C. Cohen
{"title":"Quantum image processing (QuIP)","authors":"G. Beach, C. Lomont, C. Cohen","doi":"10.1109/AIPR.2003.1284246","DOIUrl":null,"url":null,"abstract":"Moore's law states that computing performance doubles every 18 months. While this has held true for 40 years, it is widely believed that this will soon come to an end. Quantum computation offers a potential solution to the eventual failure of Moore's law. Researchers have shown that efficient quantum algorithms exist and can perform some calculations significantly faster than classical computers. Quantum computers require very different algorithms than classical computers, so the challenge of quantum computation is to develop efficient quantum algorithms. Cybernet is working with the Air Force Research Laboratory (AFRL) to create image processing algorithms for quantum computers. We have shown that existing quantum algorithms (such as Grover's algorithm) are applicable to image processing tasks. We are continuing to identify other areas of image processing which can be improved through the application of quantum computing.","PeriodicalId":176987,"journal":{"name":"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"110","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2003.1284246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 110

Abstract

Moore's law states that computing performance doubles every 18 months. While this has held true for 40 years, it is widely believed that this will soon come to an end. Quantum computation offers a potential solution to the eventual failure of Moore's law. Researchers have shown that efficient quantum algorithms exist and can perform some calculations significantly faster than classical computers. Quantum computers require very different algorithms than classical computers, so the challenge of quantum computation is to develop efficient quantum algorithms. Cybernet is working with the Air Force Research Laboratory (AFRL) to create image processing algorithms for quantum computers. We have shown that existing quantum algorithms (such as Grover's algorithm) are applicable to image processing tasks. We are continuing to identify other areas of image processing which can be improved through the application of quantum computing.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
量子图像处理(QuIP)
摩尔定律指出,计算性能每18个月翻一番。虽然这种情况已经持续了40年,但人们普遍认为这种情况很快就会结束。量子计算为摩尔定律的最终失效提供了一个潜在的解决方案。研究人员已经证明了高效量子算法的存在,并且可以比经典计算机更快地执行某些计算。量子计算机需要的算法与经典计算机有很大的不同,因此量子计算的挑战是开发高效的量子算法。Cybernet正在与空军研究实验室(AFRL)合作,为量子计算机创建图像处理算法。我们已经证明,现有的量子算法(如Grover算法)适用于图像处理任务。我们正在继续确定其他可以通过应用量子计算来改进的图像处理领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Quantum image processing (QuIP) Dual band (MWIR/LWIR) hyperspectral imager Fusion techniques for automatic target recognition Perspectives on the fusion of image and non-image data Eigenviews for object recognition in multispectral imaging systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1